Sensors | |
Neural Network Emulation of the Integral Equation Model with Multiple Scattering | |
Luca Pulvirenti1  Francesca Ticconi2  | |
[1]Department of Electronic Engineering, Sapienza University of Rome, via Eudossiana 18, 00184 Rome, Italy | |
关键词: neural networks; surface scattering; radar sensors; | |
DOI : 10.3390/s91008109 | |
来源: mdpi | |
【 摘 要 】
The Integral Equation Model with multiple scattering (IEMM) represents a well-established method that provides a theoretical framework for the scattering of electromagnetic waves from rough surfaces. A critical aspect is the long computational time required to run such a complex model. To deal with this problem, a neural network technique is proposed in this work. In particular, we have adopted neural networks to reproduce the backscattering coefficients predicted by IEMM at L- and C-bands, thus making reference to presently operative satellite radar sensors,
【 授权许可】
CC BY
© 2009 by the authors; licensee Molecular Diversity Preservation International, Basel, Switzerland.
【 预 览 】
Files | Size | Format | View |
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RO202003190055966ZK.pdf | 161KB | download |